Open Science and
Research Software Engineering
Workshop
Center for Advanced Internet Studies (CAIS)
Quirin Würschinger
LMU Munich
September 21, 2023
> whoami
Quirin Würschinger
q.wuerschinger@lmu.de
Wissenschaftlicher Mitarbeiter and PostDoc in (computational) linguistics
LMU Munich
Current work
- research
- lexical innovation on the web and in social networks
- variation and change in language use and social polarization in social networks
- using Large Language Models (LLMs) like ChatGPT for research in linguistics and social science.
- teaching: corpus linguistics and research methodology
Promoting Open Science in (computational) linguistics at LMU
- teaching and applying reproducible corpuslinguistic methods
- creating and sharing corpora among researchers and students
Topics
- Open Science: What is it and why does it make sense?
- Project setup: Learn to efficiently organize your project’s files and folders.
- Data, code, and document management: Understand how to effectively manage and maintain your data, code, and documents.
- Utilizing different data types: Discover how to work with various data types, such as interviews, web, and social media data.
- Publication process: Learn about options for publishing your data, code, and documents.
Time table
| Intro |
09:00 |
09:30 |
| Open Science principles |
09:30 |
10:30 |
| — |
10:30 |
10:50 |
| version control |
10:50 |
11:10 |
| project structure |
11:10 |
12:00 |
| data |
12:00 |
12:30 |
| — |
12:30 |
13:30 |
| code |
13:30 |
14:00 |
| methods |
14:00 |
14:30 |
| authoring |
14:30 |
15:15 |
| — |
15:15 |
15:30 |
| publishing |
15:30 |
16:00 |
| open issues and recap |
16:00 |
16:30 |
Addressing different backgrounds and goals
Backgrounds and interests
CAIS: Forschung zu Digitalisierung und Digitale Gesellschaft
Fachrichtungen
- Politikwissenschaft
- Erziehungswissenschaft
- Kommunikationswissenschaft
- Soziologie
- …
Daten und Methoden
- qualitativen Interviews
- Textanalysen
- quantitativen Befragungen
- experimentellen Designs
- Online-Plattformen/Social Media
- …
Main interests
- reproducible workflows
- managing files and folders
- plain text authoring
- programming with Python and R
- methods
- quantitative approaches
- text analysis
- questionnaires
- publishing
Who are you?
- name
- place and position
- your research interest in about 3 sentences for someone outside your field
What is Open Science
Why should we do Open Science?